In this paper, a high-availability data collection scheme based on multiple autonomous underwater vehicles (AUVs) (HAMA) is proposed to improve the performance of the sensor network and guarantee the high availability of the data collection service. Multi-AUVs move in the network and their trajectory is predefined. The nodes near the trajectory of an AUV directly send their data to the AUV while the others transmit data to nodes that are closer to the trajectory. Malfunction discovery and repair mechanisms are applied to ensure that the network operates appropriately when an AUV fails to communicate with the nodes while collecting data. Compared with existing methods, the proposed HAMA method increases the packet delivery ratio and the network lifetime.

中文翻译：

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基于Multi-AUVs的水下传感器网络高可用性数据采集方案

本文提出了一种基于多个自主水下航行器（AUV）（HAMA）的高可用性数据采集方案，以提高传感器网络的性能并保证数据采集服务的高可用性。多 AUV 在网络中移动，它们的轨迹是预定义的。靠近 AUV 轨迹的节点直接将其数据发送到 AUV，而其他节点则将数据传输到更靠近轨迹的节点。当 AUV 在收集数据时无法与节点通信时，应用故障发现和修复机制来确保网络正常运行。与现有方法相比，所提出的 HAMA 方法提高了数据包传递率和网络寿命。